Evaluation of the applicability of BIM–AR integration within the broader framework of smart design and digitally enabled construction management indicates that BIM–AR-supported approaches may facilitate visualization, improve access to project information, support model-based verification, and contribute to inspection-related decision-making.
Abstract
Managing construction-related errors has become increasingly important as construction projects continue to grow in scale and technical complexity. Digital technologies, particularly the combined use of Building Information Modeling (BIM) and Augmented Reality (AR), offer new opportunities to strengthen inspection procedures and facilitate more effective construction error management. Accordingly, this study evaluates the applicability of BIM–AR integration within the broader framework of smart design and digitally enabled construction management. The research employed a mixed-method design that integrated two complementary components: a bibliometric review of studies on BIM–AR integration and an empirical investigation involving a BIM–AR inspection framework implemented within a residential construction project in Ankara, Türkiye. The empirical stage was further supported through semi-structured interviews conducted with practitioners possessing experience in BIM-enabled construction processes. The bibliometric analysis identified dominant research themes, conceptual relationships, and emerging directions in BIM–AR research, while highlighting the limited empirical investigation of AR-supported inspection workflows from practitioner perspectives. The empirical phase involved BIM model preparation, AR integration, and professional evaluation of the potential contribution of the proposed workflow to construction inspection processes. Findings indicate that BIM–AR-supported approaches may facilitate visualization, improve access to project information, support model-based verification, and contribute to inspection-related decision-making. Due to the exploratory nature of the study and the limited participant group (n = 15), the findings are not intended for statistical generalization. Rather than drawing broadly generalizable conclusions, this research offers an initial understanding of practical implementation issues, professional experiences, and the ways in which AR-enabled BIM workflows may support construction inspection and digital quality assurance. The research contributes by integrating bibliometric mapping, workflow evaluation, and practitioner feedback to examine how BIM–AR technologies may support information management and smart construction practices.
Building Information Modelling (BIM) is a field of study where new dimensions are continually discovered and improved. Research on evaluating project performance using Earned Value Management technique (EVM) in BIM-based projects is limited.
To this end, using a system’s thinking approach, the study explores the integration of BIM with the EVM technique for exploring the predictive power of BIM for effective project control.
The study was experimental in nature and adopted a case-study based approach for two live commercial projects using Autodesk Revit Architecture to generate 3D model, 4D time-liner simulation and 5D quantity take-off. Data sources included site documents, drawings and specifications. The outputs in 4D BIM were iterated with planned and actual dates in Autodesk Navisworks Manage software which was cross-verified with Earned Value Analysis (EVA) computations and validated further with project team through qualitative interviews.
4D BIM time-liner simulation visually identified and predicted the schedule slips, project delays and budget overruns for both the projects as was evident through EVM analysis and metrics. The findings also highlighted software limitations in displaying delays with associated cost parameters when experimented with planned, actual and planned against actual schedules.
The insights showcase the predictive power of the BIM tool for EVM depiction. The study advocates integrating digital visualization tools with powerful monitoring techniques to move beyond traditional manual tracking towards more proactive project control. The findings highlight the applicability and the limitations of the Navisworks software with respect to BIM-EVM integration which is novel.
The results are based on two commercial live projects. More studies across different project types will enable generalization of the findings. Future research can also focus on social aspects of EVM implementation in BIM based projects and identify the level of criticality of activities to prioritize them for effective project management and control.
The systems thinking approach served as a starting point to integrate the EVM concepts in BIM based commercial projects to visualize and predict the project delays and budget overrun. Such predictive analysis can act as an effective tool for mitigating delays in projects and aide practitioners. The findings across the project cases confirm that this digital integration acts as a powerful early warning system for stakeholders. The study also provides a conceptual framework for BIM-EVM integration adding value to theory and practice.
S. Ramalingam· Journal of Real Estate, Cons...· 0 citations
The BIM–VR workflow advances design-phase H&S by enabling immersive hazard review, metadata integration, and collaborative issue resolution, offering a replicable solution aligned with digital construction practices.
Background: Digital transformation in the construction industry has accelerated the adoption of Building Information Modeling (BIM) to enhance project productivity, efficiency, and quality. However, effective BIM implementation requires alignment among technological capabilities, human competencies, and organizational support.
Objective: This study aims to analyze BIM implementation at PT Hutama Karya’s Building Division using the Human-Organization-Technology Fit (HOT-FIT) model.
Methods: A qualitative case study was conducted through in-depth interviews with 10 informants from project teams, the Building Division, and the Information Systems and Technology (SIT) Division, complemented by observations and document reviews. Data were analyzed thematically by examining the Human, Organization, and Technology dimensions, identifying implementation gaps, and developing alignment strategies.
Results: The findings reveal that BIM implementation is supported by corporate policies, core software availability, and established BIM functions. However, BIM utilization remains suboptimal due to uneven competencies, limited management support, inconsistent SOP implementation, weak BIM role authority, infrastructure disparities, and limited system integration. The primary misfits are identified in the Human and Organization dimensions.
Conclusion: Misalignment across HOT-FIT dimensions restricts BIM optimization, particularly in project time control, cost management, communication, and coordination. This study provides a diagnostic framework and strategic alignment approach to maximize BIM utilization and transform digital investment into measurable construction productivity improvements.
Iwan Setiawan, Mohammad Riza Sutjipto· Glosains Jurnal Sains Global...· 0 citations
Purpose: This study aims to explore the current state of knowledge and identify transferable critical success factors (CSFs) from Lean-BIM literature that may inform future VSM-BIM integration in road design processes
Methodology: A Systematic Literature Review (SLR) was conducted following the PRISMA 2020 guidelines, complemented by a reflexive thematic analysis of five conceptually relevant peer-reviewed studies published between 2014 and 2024.
Findings: The review revealed a significant research gap, with no studies directly addressing VSM-BIM integration in road design. Consequently, the thematic analysis focused on extracting transferable insights from related Lean-BIM integration studies within the broader construction domain. The analysis identified fifteen CSFs organised into five interrelated themes: Leadership and Organisational Support, Collaboration and Early Stakeholder Engagement, Process Efficiency and Waste Reduction, Technology Enablement and Visualisation, and Training and Knowledge Sharing. These themes collectively represent organisational, technological, collaborative, and capability-related factors that may support future VSM-BIM integration efforts within road design environments.
Implications: This study contributes to the emerging body of knowledge by providing an exploratory conceptual framework that can inform future empirical investigations and support practitioners, policymakers, and infrastructure agencies seeking to advance Lean and digital transformation in road project delivery.
Andy Faizal Sahapadin, Zulhasni Abdul Rahim· NUST Business Review· 0 citations
This study is premised on the argument that achieving sustainability in construction site management requires integrating Digital Ergonomics. Accordingly, the objectives of the study are twofold: to examine the benefits of Digital Ergonomics for sustainable construction site management and to develop a framework for its systematic integration into construction site operations. The theoretical foundation of the study is anchored in Socio-Technical Systems theory, which emphasizes the joint optimization of human and technological systems.A qualitative research methodology was adopted through a Systematic Literature Review (SLR) guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. A total of 109 research publications were identified and screened, forming the basis of the analysis. The findings reveal five key benefits of Digital Ergonomics for sustainable construction site management: potential for scenario analysis, GIS-enabled spatial analysis, multimodal interaction, waste reduction and management, and digital lean construction. Furthermore, the study proposes a six-stage integrative framework for embedding Digital Ergonomics into sustainable construction site management, comprising modular construction, sustainability indicators and design for construction sites, a Big Data analytic model, design of human action behavior recognition technology, application of Digital Twin technology, and a biophilic construction site model.The study concludes that Digital Ergonomics serves as a strategic bridge between human-centered design and sustainable, data-driven construction operations. It recommends institutionalizing the twin transitions of digitalization and sustainability within construction site policies and regulatory frameworks, as well as practical experimentation with Digital Ergonomics models across diverse construction contexts.
L. David, C. Aigbavboa, A. Idowu· AHFE International· 0 citations
The increasing complexity of construction projects has made traditional planning methods inadequate for managing dynamic variables. In this context, the integration of building information modelling (BIM) and artificial intelligence (AI) has been increasingly investigated as a promising approach to improve estimation accuracy, decision-making, and sustainable project execution. This systematic literature review, conducted according to the PRISMA guidelines, analysed 47 articles on BIM-AI integration for construction cost and time planning, categorising them into three clusters: time-oriented, cost-oriented, and multi-objective planning. The reviewed studies indicate that BIM-AI workflows may improve planning efficiency, estimation accuracy, and resource allocation. A limited subset of studies directly incorporated energy consumption, carbon emissions, or lifecycle performance into the optimisation objectives. By contrast, broader benefits related to material waste, rework, equipment idle time, and safety were mainly inferred from improvements in scheduling and resource management rather than directly quantified across the reviewed studies. Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) emerged as the most frequently adopted and consistently reported techniques, while Revit was the most adopted BIM platform. Despite its potential, BIM-AI integration still faces challenges related to software interoperability, data quality, interdisciplinary coordination, and the limited integration of explicit sustainability indicators within optimisation models. Future research should focus on developing standardised and adaptable frameworks that jointly address cost, time, resource efficiency, environmental impact, and lifecycle performance across different construction contexts.
Serena Vitaliano, S. Cascone, C. Arcidiacono· Sustainability· 0 citations
